刷新客户端计算机的数据缓存。
它不是任意的数据缓存。
它为桌面和类似的Web应用程序提供数据缓存。
It provides data caching for desktop and Web applications alike.
上下文可能会同时影响元数据和数据缓存。
数据缓存后，减少了从服务器端加载数据。
Scalability - Since caching minimizes data retrieval and formatting operations, it reduces the load on server resources thus increasing the scalability of the application.
它将文件数据缓存为分页，就如同进程的虚拟内存一样。
It caches the file data as pages, just like virtual memory for processes.
Web服务正确使用数据缓存就可以实现其最大的性能。
Web services can maximize performance by correctly using data caching.
在数据服务编排层，缓存由专门的数据缓存服务提供支持。
At the data services orchestration tier, caching is supported by a specialized data caching service.
支持数据缓存以减少访问数量，从而处理大量的数据请求。
Enable data caching to reduce the number of accesses in order to handle large volumes of data requests.
请注意这只会影响数据缓存（元组存储）且没有元数据缓存。
Please note this only affects data cache (tuple storage) and not metadata cache.
另一种重要的性能改进方法是把必需的数据缓存在接近处理器的地方。
Another important method of improving performance is through caching of necessary data close to the processor.
可以使用数据缓存对那些更改频率低于页面请求频率的数据进行缓存。
Data caches can be used for caching data with change rates that are below the page request rate.
DataSet服务器被用作. NET应用程序的脱机数据缓存。
The data Set serves as an offline data cache for.net applications.
批处理通常不需要数据缓存，否则你会将内存耗尽并大量增加GC开销。
Batch processing usually doesn't need data caching, otherwise you may run out of memory and dramatically increase your GC overhead.
最重要的是，它本地存储所有资源，构建您的本地tweets数据缓存。
Most importantly, it saves everything locally, building your local data cache of tweets.
最后，安装更多内存让文件系统可以把文件和元数据缓存在内存中。
Finally, having extra memory on hand allows the file systems to cache files and metadata in memory.
将数据缓存到客户机上并清空输入字段，以允许用户输入下一台车辆的数据。
Cache the data on the client and blank out the input fields to allow the user to enter the next vehicle's data.
正如前面提到过的，上下文数据缓存在随集群而扩展的集群范围的缓存中。
As mentioned previously, the context data is cached in a cluster-wide cache that scales with the cluster.
数据缓存层的目的是为您的应用程序服务器层提供一个可伸缩、容错和一致的数据网格。
The purpose of the data caching tier is to provide scalable, fault tolerant, coherent data grids for your application server tier.
在db2缓冲池中数据页面也保持压缩的，为了潜在的重用允许更多的数据缓存在内存中。
A data page also remains compressed in the DB2 buffer pool there by allowing more data to be cached in memory for potential reuse.
由于查询与元数据缓存的存在，使得第二次运行的执行速度总是比第一次运行快。
The query and metadata caching results in the second run always executes faster than the first run. For example, looking at this Entity SQL query.
服务器资源问题可以这样解决：将以前的数据缓存，然后将最新添加的数据集成进来。
The server resource issue can be addressed by caching prior data and then aggregating the very newest additions.
这种整合包括创建与这些表的关系以及各种形式的优化，比如通过提示或数据缓存命名一个耦合。
This includes creating relationships with these tables and various forms of optimization such as hints or data caching to name a couple.
DB 2和Oracle数据库都提供了允许将数据表数据缓存在RAM中的缓冲区。
Both DB2 and Oracle databases provide buffers that allow table data to be cached in and served from RAM.
现在让我们看下asp.net中是如何支持cache的过期以及数据缓存依赖的。
Let us discuss the different expiration policies and the dependencies that are supported.
设计器还会创建SQL精简版数据库文件作为本地数据缓存，并生成与同步服务进行交互的代码。
Designer also creates SQL ce.sdf database file to be used as local cache store as well as synchronization code necessary to interact with the sync Service.
然后，它将使用流(通过rshd)将来自客户机的所有数据缓存到NIM主机上的文件系统中。
It will then use streams (via RSHD) to cache all of the data from the client to the file systems on the NIM master.
它允许使用64位数据源驱动程序，且可以利用64位满足查询处理、元数据缓存和数据缓存的空间。
It permits the use of 64 bit data source drivers and can leverage the 64 bit address space for query processing, metadata caching and data caching.
不管是创建一个目录或文件，删除一个文件，或者是写入一个文件，元数据缓存器都要更新。
Whenever a new directory or file is created, a file is deleted, or whenever a file is written to, the metadata cache is updated.
例如，当写入一个文件的时候，这个文件的长度和最后修改时间都要在元数据缓存器里面更新。
For example, when we write to a file, the new length and the last modification timestamp are updated in the metadata cache.
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